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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
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Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Экологически ответственное поведение: представления малого и среднего бизнеса

Вопросы экономики. 2023. № 5. С. 106–130.
Cheglakova L. M., Батаева Б. С., Melitonyan O.

The study of barriers and drivers of Russian SMEs’ environmentally responsible behavior is essential, since this business cluster is characterized by its low information openness and transparency. The goal of the study was to research attitudes of owners and managers of Russian SMEs of different sizes towards diverse factors of internal and external business environment acting as barriers and drivers of SMEs’ environmentally responsible behavior. In this context, the following research tasks were set: to identify the significance of factors in SMEs’ external and internal 
environment (drivers and barriers) shaping their commitment to environmentally responsible practices after analyzing a broad range of publications in the corresponding scientific domain; to compare analytical results from reviewing academic publications to findings from the empirical study of Russian SMEs’ views and opinions. 
The research methods were questionnaire and interviews among representatives of 151 and 20 Russian SMEs respectively. The study revealed that the majority of respondents marked factors of external business environment, first of all, actions of federal and local authorities, as most significant barriers and drivers of environmentally responsible behavior of Russian SMEs of all sizes. They also mentioned «the culture of responsible production and consumption” in this regard. Market conditions (competition, opportunities of concluding contracts within the network 
of responsible suppliers etc.) can be ranked second by their significance according to respondents’ answers. Factors of internal business environment (financial, human resources, time resources etc.) are significantly less often perceived by SMEs’ representatives as drivers and barriers for their organizations’ “green” business practices. In contrast to other developing market economies, where SMEs include large corporations, business associations and technological, demographic and religion factors, along with governmental activities, into the list of important drivers for environmentally responsible behavior, the priority of authorities’ actions is absolute in the ranks of Russian SMEs in this regard. Employees of micro--businesses were different in their estimations of restraints to environmentally responsible behavior, as well as of benefits that their firms may get from environmentally responsible initiatives, than their colleagues from medium-sized companies. The latter group increasingly relies on international organizations’ and UN recommendations, as well as competitors’ adherence to “green” practices. Research outcomes allow to 
conclude that if large corporations within Russia consider expansion of cooperation opportunities for responsible suppliers from the SMEs segment, while professional associations and communities boost efforts for increasing their awareness and knowledge of environmentally responsible practices, the degree of Russian SMEs interest 
to “green” projects and practices may become considerably higher.

Research target: Economics and Management Sociology (including Demography and Anthropology
Language: Russian
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Keywords: социальная ответственностьинститутыinstitutionssocial responsibilityмалое и среднее предпринимательствоМСПSMEsэкологически ответственное поведениеМСБenvironmentally responsible behavior
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